Triple

T18761235
Position Surface form Disambiguated ID Type / Status
Subject Global Groove E458772 entity
Predicate productionCompany P490 FINISHED
Object WNET/Thirteen NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: WNET/Thirteen | Statement: [Global Groove, productionCompany, WNET/Thirteen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WNET/Thirteen
Context triple: [Global Groove, productionCompany, WNET/Thirteen]
  • A. WNET
    WNET is a major New York City public television station and one of the primary flagship producers of national programming for PBS.
  • B. Thirteen WNET New York chosen
    Thirteen WNET New York is a major public television station and PBS flagship in New York City known for producing acclaimed educational and documentary programming.
  • C. WCVB-TV
    WCVB-TV is a Boston-based television station serving as the ABC network affiliate for the Greater Boston area.
  • D. WCBS-TV
    WCBS-TV is the primary New York City television station of the CBS network, serving as its main owned-and-operated outlet.
  • E. WGBH Boston
    WGBH Boston is a major American public television and radio broadcaster known for producing influential educational and science programs for PBS.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e58d7ecca881909d6c262837b621b3 completed April 20, 2026, 2:20 a.m.
Created at: April 10, 2026, 11:52 a.m.